Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Azhi-ss/academic-figure-skills --skill academic-repo-analyzergit clone --depth 1 https://github.com/Azhi-ss/academic-figure-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-repo-analyzer)<a href="https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-repo-analyzer"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-repo-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-repo-analyzer"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-repo-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.01395 |
| Opus 5 | $0.00024 | $0.00698 |
| Sonnet 5 | $0.00010 | $0.00279 |
| Haiku 4.5 | $0.00005 | $0.00139 |
Grade A, and why
academic-repo-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Repo Analyzer
Produce a concise repository understanding document plus a machine-readable Semantic Architecture Handoff v1. The handoff describes scientific roles and executable relationships, not the repository's folder layout or engineering boilerplate.
Read keywords.md only when task or framework classification is uncertain. Read references/missing-info-policy.md when evidence is sparse.
Core Principle: Narrative Priority & Non-Intrusive Extraction
- Paper & User Narrative > Code Implementation:
- A paper figure depicts the scientific contribution and conceptual data flow, not the full software engineering artifact.
- Omit engineering plumbing (such as
DataLoader,Trainer,Logger,ConfigParser,DeviceManager, orOptimizersetup) unless the paper specifically contributes a training algorithm or infrastructure system.
- Fact-Checking & Parameter Grounding:
- When a paper draft or user architecture is already present, the repo analyzer acts as a supporting fact-checker (verifying tensor dimensions, loss formulas, exact module names, and execution directions) rather than re-inventing the architecture.
Input contract
- Prefer: repository path, README, dependencies, entry points, core model/algorithm files, configs, and tests that establish behavior.
- Accept: partial repository, isolated model files, core algorithm script.
- Minimum: one README, entry point, or core implementation file.
- Record the source revision when Git metadata is available.
- Treat names and README claims as leads; verify figure-critical claims in code or tests.
Output contract
Keep the human summary to roughly 30–70 lines, then emit the handoff block below.
- Repository overview and scientific task.
- Evidence/completeness statement listing what was inspected.
- Semantic components and their responsibilities.
- Executed/advisory/feedback/persistence connections.
- Authority or trust boundaries when agents, tools, evaluators, or external systems are involved.
- Figure suggestions (Overall Framework, Network Architecture, Module Detail, Concept/Motivation, Protocol/Sequence).
Semantic Architecture Handoff v1.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 130 lines · 48 tokens per session scan A 4a2eb1d8bb00
academic-repo-analyzer is a skill published in the GitHub repository Azhi-ss/academic-figure-skills (103 stars, last pushed 9d ago), licensed MIT. It adds 48 tokens to every session and 1,395 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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